• AI Engineering — building practical applications around LLMs, RAG, embeddings, and AI-powered workflows.
• Backend Systems — APIs, databases, networking, concurrency, and service architecture.
• Software Architecture — SOLID principles, separation of concerns, dependency management, and maintainable system design.
• C# / .NET — strengthening my understanding of application architecture, system design, and backend development.

An experimental content pipeline that transforms single concept inputs into brand-aligned image prompts and handles automated publishing. Built for the Batang90 concept to automate prompt engineering, human-in-the-loop review, and direct social media deployment.

Tech Stack:

Focus:

• Config-driven prompt orchestration with dynamic rule injection and feedback loops.
• Google AI Imagen integration for automated visual content generation.
• Facebook Graph API integration for programmatic page publishing.
• Streamlit desktop workflow for real-time asset review, rejection feedback, and approval.

A modular, locally hosted Retrieval-Augmented Generation system that combines semantic vector retrieval with LLMs and local embeddings to provide context-aware answers over local document collections. It also explores real-time text and speech interaction.

Tech Stack:

Focus:

• Modular software design and separation of responsibilities.
• Semantic vector search and context retrieval using ChromaDB.
• LLM integration and multimodal interaction.
• Interactive application development using Streamlit.

A desktop chess application built with C# and Raylib, focusing on board-state representation, move validation, game-state management, and implementing core engine logic from first principles.

Tech Stack:

Focus:

• Custom game and board-state management.
• Move validation and chess rules.
• Dependency management and separation of concerns.
• Understanding lower-level implementation details.

A lightweight, multi-threaded static file server built with C# and raw TCP sockets. The project explores networking fundamentals by implementing HTTP request parsing and connection handling without relying on high-level web server abstractions.

Tech Stack:

Focus:

• HTTP/1.1 request parsing and response handling.
• TCP socket communication.
• Concurrent connection management.
• Static asset delivery and stream handling.

• 🚀 Currently seeking opportunities in Software development AI engineering and Backend engineering.
• 🎓 Bachelor of Science in Information Technology graduate from Bulacan Agricultural State College (BASC).
• 🛠️ Interested in software architecture, SOLID principles, system design, and maintainable software.
• 🧠 I enjoy building core logic and systems from the ground up to better understand how they work under the hood.
• 🤖 Exploring AI engineering, LLM applications, RAG, and intelligent software systems.

Languages

Backend & Frameworks

AI & Data

Frontend

Databases & Testing

DevOps & Development Tools

Systems & Hardware

I like software that is easy to understand, test, replace, and extend. I aim to keep responsibilities separated and dependencies explicit so that individual components can evolve without unnecessarily affecting the rest of the system.